Computation.tech. in Power Sys. Analysis

Course content

Power system modeling; sparse data structures; computational issues for various power system problems; solution of large sparse linear systems: factorization, ordering, inverse factors, sparse vector methods, compensation, partial matrix refactorization, applications; vector processing and parallel processing: implementation issues and applications in power.